Real-coding Genetic Algorithm-based Model Identification for Bed Temperature of 300MW CFB Boiler

摘要：

This paper proposed that an improved genetic algorithm based on real-coding, multi-operators cooperation and rank-based selection of crossover and mutation probability. This algorithm has better ability to search the global optimum result, and applies to identify the model of 300MW circulating fluidized bed boiler in order to acquire the accurate transfer function. This study is conducted to highlight the model of bed temperature and its effect factors.

关键词： Real-coding genetic algorithm 300MW CFB boiler bed temperature transfer function

作者: Guolian Hou Yuanyuan Zhang Jianhua Zhang

作者单位: School of Control and Computer Engineering, North China Electric Power University, Changping District, Beijing,102206, CHINA

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 2019-2025

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）